# print.cfa2way: Print summary of two-way analysis for cell survival data. In CFAssay: Statistical analysis for the Colony Formation Assay

## Description

The function prints a summary of two-way analysis for cell survival data.

## Usage

 ```1 2``` ```## S3 method for class 'cfa2way' print(x, labels=c(A="A",B="B"), ...) ```

## Arguments

 `x` an R object of class `cfa2way` and resulting from function `cfa2way`. `labels` labels for output description. These describe the meaning of `A` and of `B`. `...` further arguments to pass to R function `print`.

## Author(s)

Herbert Braselmann

`cfa2way`

## Examples

 ```1 2 3 4``` ```datatab<- read.table(system.file("doc", "exp2_2waycfa.txt", package="CFAssay"), header=TRUE, sep="\t") names(datatab) # has columns "x5fuCis" and "siRNA" fitcomp<- cfa2way(datatab, A="siRNA", B="x5fuCis", param="A/B") print(fitcomp, labels=c(A="siRNA",B="x5fuCis")) ```

### Example output

```[1] "Exp"       "x5fuCis"   "siRNA"     "ncells"    "ncolonies"
*** Two-way ANOVA for factors A and B with interaction ***
A= siRNA , B= x5fuCis
Test for interaction: F-test
F  Pr(>F)
values 9.831 0.01202 *
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Use 'print' to see detailed results

*** Logarithmic linear two-way ANOVA for factors A and B with interaction ***
=============================================================================
A= siRNA , B= x5fuCis
Postscript digits for A or B: 0 inactive, 1 active
surv_percent = exp(Estimate)*100

Null hypothesis (Model 1): no interaction
-----------------------------------------
Estimate Std. Error    t value     Pr(>|t|) surv_percent
A1 -0.4237844 0.06366051  -6.656944 5.660071e-05         65.5
B1 -1.1187559 0.07738539 -14.456939 4.980588e-08         32.7

Goodness-of-fit values
Residual Deviance: 77.99569
Total sum of squared weighted residuals ssqwresTot: 75.87275
Residual Degrees of Freedom: 10
Dispersion parameter: 7.587275

Alternative hypothesis (Model 2): interaction
---------------------------------------------
parametrization: A/B
Estimate Std. Error    t value     Pr(>|t|) surv_percent
A1    -0.3484218 0.05266374  -6.615972 9.746888e-05         70.6
A0:B1 -0.9757699 0.07170380 -13.608343 2.619891e-07         37.7
A1:B1 -1.3432352 0.09470322 -14.183627 1.832336e-07         26.1

Goodness-of-fit values
Residual Deviance: 37.15596
Total sum of squared weighted residuals ssqwresTot: 37.38767
Residual Degrees of Freedom: 9
Dispersion parameter: 4.154185

Analysis of Variance Table and F-test
Model 2 versus Model 1
Resid. Df Resid. Dev Df Deviance     F  Pr(>F)
1        10     77.996
2         9     37.156  1    40.84 9.831 0.01202 *
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
```

CFAssay documentation built on Nov. 8, 2020, 11:10 p.m.